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• W3199448466 abstract "Nature-inspired algorithms use random exploration and exploitation tactics as a searching strategy to explore a search space. These two searching schemes are harmonized in nature-inspired search techniques to solve any optimization problem. Although several traditional approaches have been applied to the design of optimal HRES, there is still a challenge of finding a near-optimal approach to estimate the configuration size, cost, and reliability of mini-grid HRES. In this paper, we reviewed the state-of-the-art optimization approaches that have been applied in estimating the configuration size, cost, and reliability of mini-grid HRES. A desktop-based research method was adopted in which a total of 49 scholarly articles which tie well to the topic was selected for a thorough review. Various nature-inspired search methods proposed and/or applied in the last 5 years (2016–2021) by different researchers in solving the optimization problem of HRES were showcased in this paper. The review suggested that the optimal design of HRES in most cases seeks to minimize a cost function and maximizes the reliability of the system to meet the load requirement. Again, based on the diverse scenarios and increasing complexities of HRES, nature-inspired algorithms promise better near-optimal solutions than their competitors. Furthermore, the review suggested that nature-inspired search techniques have been applied extensively in HRES optimization. Moreover, several studies have also hybridized two or more algorithms to improve the searching strategies for better performance of HRES. These findings among others suggest opportunities for future research in the design of near-optimal HRES. The review holds salient implications for researchers and industry professionals. It elucidates the chances to design a reliable, cost-efficient, and effective mini-grid HRES yet have economic benefits to the users." @default.
• W3199448466 created "2021-09-27" @default.
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• W3199448466 date "2021-01-01" @default.
• W3199448466 modified "2023-10-14" @default.
• W3199448466 title "A Comprehensive Review of Nature-Inspired Search Techniques Used in Estimating Optimal Configuration Size, Cost, and Reliability of a Mini-grid HRES: A Systemic Review" @default.
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• W3199448466 doi "https://doi.org/10.1007/978-3-030-87013-3_37" @default.
• W3199448466 hasPublicationYear "2021" @default.
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